Haar-like filters are renowned for their simplicity, speed, and accuracy in various computer vision tasks. This paper proposes a novel algorithm to identify optimal fully dispersed Haar-like filters for enhanced facial feature extraction and recognation. Unlike traditional Haar-like filters, these novel filters allow pixels to move freely within images, enabling more effictive capture of intricate local features...

翻译：Haar-like滤波器以其在各类计算机视觉任务中的简洁性、快速性和准确性而著称。本文提出一种新颖算法，用于识别最优全分散Haar-like滤波器，以实现增强的面部特征提取与识别。与传统Haar-like滤波器不同，这些新型滤波器允许像素在图像内自由移动，从而能够更有效地捕捉复杂的局部特征...